Published Date
Procedia Chemistry
2016, Vol.19:433–440, doi:10.1016/j.proche.2016.03.035
5th International Conference on Recent Advances in Materials, Minerals and Environment (RAMM) & 2nd International Postgraduate Conference on Materials, Mineral and Polymer (MAMIP)
Open Access, Creative Commons license
Lately, widespread research on polymer composites that consist of natural fiber as reinforcement have been widely discussed. In this work, an attempt on optimizing the hot press forming process parameters using Response Surface Methodology (RSM) have been made to improve the mechanical properties of the woven flax/PLA composites. Three independent process variables, including moulding temperature, time and pressure were studied. Through the Box Behnken approach, a set of experiment runs based on various combination of compression moulding via Minitab 16 were established. As a results the optimum value for the variables of compression moulding technique parameters were 200 °C, 3 min and 30 bar in order to yield 48.902 kJ/m-2ofimpact strength.
Keywords
Response surface methodology
Flax fibre reinforced composites
Compression moulding
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http://www.sciencedirect.com/science/article/pii/S1876619616000814
Procedia Chemistry
2016, Vol.19:433–440, doi:10.1016/j.proche.2016.03.035
5th International Conference on Recent Advances in Materials, Minerals and Environment (RAMM) & 2nd International Postgraduate Conference on Materials, Mineral and Polymer (MAMIP)
Open Access, Creative Commons license
Available online 24 March 2016.
AbstractLately, widespread research on polymer composites that consist of natural fiber as reinforcement have been widely discussed. In this work, an attempt on optimizing the hot press forming process parameters using Response Surface Methodology (RSM) have been made to improve the mechanical properties of the woven flax/PLA composites. Three independent process variables, including moulding temperature, time and pressure were studied. Through the Box Behnken approach, a set of experiment runs based on various combination of compression moulding via Minitab 16 were established. As a results the optimum value for the variables of compression moulding technique parameters were 200 °C, 3 min and 30 bar in order to yield 48.902 kJ/m-2ofimpact strength.
Keywords
References
- [1]
- Optimization of processing variables in wood-rubber composite panel manufacturing technology
- Bioresour Technol, Volume 99, 2008, pp. 2384–2391
- | |
- [2]
- Process optimization of K2C2O4-activated carbon from kenaf core using Box–Behnken design
- Chem Eng Res Des, Volume 91, 2013, pp. 1783–1789
- | | |
- [3]
- Mechanical properties of short-flax-fibre reinforced compounds
- Compos Part A Appl Sci Manuf, Volume 37, 2006, pp. 1591–1604
- | |
- [4]
- Review Of Natural Fiber Reinforced Woven Composite
- Rev Adv Mater Sci, Volume 27, 2011, pp. 146–150
- [5]
- Examination of Tensile Strength and FTIR Features of Maize Fibers Reinforced
- Polymer Composites, Volume 05, 2011, pp. 4–7
- [6]
- Comparative study of wear performance of particulate and fiber-reinforced nano-ZnO/ultra-high molecular weight polyethylene hybrid composites using response surface methodology
- Mater Des, Volume 63, 2014, pp. 805–819
- | |
- [7]
- A study of optimization of injection molding process parameters for SGF and PTFE reinforced PC composites using neural network and response surface methodology
- Int J Adv Manuf Technol, Volume 63, 2012, pp. 691–704
- [8]
- Senthil Kumar B, Balachandar S. A study on the influence of hot press forming process parameters on Flexural Property of Glass/PP Based Thermoplastic Composites Using Box-Behnken Experimental Design. ISRN Mater Sci 2014.
- [9]
- Fard Masoumi HR, Basri M, Kassim A, et al. Statistical optimization of process parameters for lipase-catalyzed synthesis of triethanolamine-based esterquats using response surface methodology in 2-liter bioreactor. Sci World J 2013;.
- [10]
- Optimization of ultrasound-assisted extraction of colchicine compound from Colchicum haussknechtii by using response surface methodology
- J Saudi Soc Agric Sci, 2015, pp. 1–8
- ☆Peer-review under responsibility of School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia.
- ⁎ Corresponding author.
http://www.sciencedirect.com/science/article/pii/S1876619616000814
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